56-3.76] compared with those without HBW. Significant additive interaction of HBW with physical activity was found for overweight/obesity [relative excess risk due to interaction (RERI)?=?2.69, 95% CI?=?0.62-4.75; attributable proportion of interaction (AP)?=?0.72, 95% CI?=?0.42-1.02]. The HBW children with insufficient activity had higher odds of overweight/obesity compared to the non-HBW children with sufficient activity (OR?=?3.75, 95% CI?=?2.06-6.83). In addition, we identified a significant interaction of HBW with household income for abdominal obesity (RERI?=?1.20, 95% CI?=?0.02-2.37; AP?=?0.76, 95% CI?=?0.16-1.36). CONCLUSIONS HBW confers an increased risk for childhood overweight/obesity. Physical activity attenuates the effect of HBW on overweight/obesity, and HBW possibly synergistically interacts with high household income to promote abdominal obesity in childhood.BACKGROUND As an important anti-HBV drug, pegylated interferon α (PegIFNα) offers promising clinical efficacy, but biomarkers that accurately forecast treatment responses are yet to be elucidated. Here, we evaluated whether HBV RNA could act as an early monitor of pegylated interferon responses. METHODS We analyzed a phase 3, multicenter, randomized cohort of 727 HBeAg-positive non-cirrhotic patients receiving a 48-week treatment of PegIFNα-2a or PegIFNα-2b and a 24-week treatment-free follow-up. Serum levels of HBV RNA, HBV DNA, HBeAg, and HBsAg were measured at weeks 0, 12, 24, 48, and 72. RESULTS HBeAg seroconversion and HBsAg loss at week 72 were observed in 217 (29.8%) and 21 (2.9%) patients, respectively. During the 48-week treatment, HBV RNA decreased more rapidly than HBV DNA and HBsAg, but HBV RNA and HBeAg shared similar dynamics with positive correlations. Multivariate regression analyses consistently revealed the significance of HBV RNA at weeks 0, 12, 24, and 48 to monitor HBeAg seroconversion but not HBsAg loss. Although baseline HBV RNA only showed a modest AUC performance, HBV RNA with a significant increase of AUC at week 12 outperformed other HBV biomarkers to forecast HBeAg seroconversion (p value? less then ?0.05). HBV RNA???1000 copies/mL was an optimized cutoff at week 12 that offered better prediction than other HBV biomarkers. This optimized cutoff plus patient age, HBV genotype B, and HBeAg offered a strong estimation of HBeAg seroconversion (accuracy 95.2%, true negative rate 99.8%). CONCLUSION HBV RNA at week 12 is an effective monitor of HBeAg seroconversion in HBeAg-positive patients treated with pegylated interferons.BACKGROUND AND AIM There is an increased awareness of de novo hepatitis B virus (HBV) infection (DNH) in hepatitis B surface antigen (HBsAg)-negative recipients receiving hepatitis B core antibody (HBcAb)-positive liver organ. Whether hepatitis B surface antibody (HBsAb) has positive result on preventing the occurrence of DNH in HBcAb-positive liver graft recipients remains unknown. A meta-analysis was conducted to evaluate the effect of HBsAb on DNH in these patients. METHODS We sought published studies through August 29, 2019, in Medline and other sources that examined DNH in liver transplantation receptors with HBcAb-positive grafts. The rate of DNH was established in random-effects model meta-analyses. RESULTS In 36 studies involving 950 patients, the pooled incidence rate of DNH was 5% in patients with HBsAb positive versus 28.0% HBsAb negative. Prophylactic treatment has a significant impact on the occurrence of DNH in HBsAb-negative patients, no difference in hepatitis B immunoglobulin-combined and nucleos(t)ide analogues (NAs)-alone immunoprophylaxis. Unprotected HBV-naïve patients had the highest risk with DNH. CONCLUSION Immunoprophylaxis may need more consideration for HBsAb-positive patients receiving HBcAb-positive liver grafts. Active vaccination and mono-prophylaxis with NAs could be recommended in HBsAb-negative recipients against DNH. Further studies should examine the higher genetic barrier drugs for preventing DNH, and the association between DNH and HBV DNA-positive liver graft in this patient population.INTRODUCTION Advanced therapy-refractory biliary tract cancer (BTC) has poor prognosis and constitutes a major challenge for adequate treatment strategies. By mapping the molecular profiles of advanced BTC patients, precision cancer medicine may provide targeted therapies for these patients. OBJECTIVE In this analysis, we aimed to show the potential of PCM in metastatic BTC. METHODS In this single-center, real-world retrospective analysis of our PCM platform, we describe the molecular profiling of 30 patients diagnosed with different types of metastatic BTC. Tumor samples of the patients were examined using a 161-gene next-generation sequencing panel, immunohistochemistry (IHC), and fluorescence in situ hybridization for chromosomal translocations. RESULTS In total, we identified 35 molecular aberrations in 30 patients. The predominant mutations were KRAS (n?=?8), TP53 (n?=?7), IDH2 (n?=?4), and IDH1 (n?=?3) that accounted for the majority of all molecular alterations (62.86%). BRAF mutations were observed in two patients. https://www.selleckchem.com/products/bmn-673.html Less frequent alterations were noted in ARID1A, CTNNB1, ESR1, FBXW7, FGFR2, MET, NOTCH2, PIK3CA, PTCH1, SMAD4, and SRC1, each in one case. FGFR fusion gene was detected in one patient. No mutations were detected in eight patients. IHC revealed EGFR and p-mTOR expression in 28 patients. Applying these results to our patients, targeted therapy was recommended for 60% of the patients (n?=?18). One patient achieved stable disease. CONCLUSIONS PCM is a feasible treatment approach and may provide molecular-guided therapy recommendations for metastatic BTC.BACKGROUND Host genome integration of HBV sequence is considered to be significant in HBV antigen expression and the development of hepatocellular carcinoma (HCC). METHOD We developed a probe-based capture strategy to enrich integrated HBV DNA for deep-sequencing analysis of integration sites in paired patient samples derived from tumor, liver tissue adjacent to tumor, saliva and plasma, as a platform for exploring the correlation, significance and utility of detecting integrations in these sample types. RESULTS Most significantly, alpha fetoprotein levels significantly correlated to the amounts of integrations detected in tumor. Viral-host chimeric DNA fragments were successfully detected at high sequencing coverage in plasma rather than saliva samples from HCC patients, and each fragment of this type was only seen once in plasma from chronic hepatitis B patients. Almost all plasma chimeric fragments were derived from integrations in tumor rather than in adjacent liver tissues. Over 50% of them may produce viral-host chimeric transcripts according to deep RNA sequencing in paired tissue samples.